Stochastic Simulation and Applications in Finance with MATLAB Programs

This book PDF is perfect for those who love Business & Economics genre, written by Huu Tue Huynh and published by John Wiley & Sons which was released on 21 November 2011 with total hardcover pages 354. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Stochastic Simulation and Applications in Finance with MATLAB Programs books below.

Stochastic Simulation and Applications in Finance with MATLAB Programs
Author : Huu Tue Huynh
File Size : 45,7 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 21 November 2011
ISBN : 9780470722138
Pages : 354 pages
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Stochastic Simulation and Applications in Finance with MATLAB Programs by Huu Tue Huynh Book PDF Summary

Stochastic Simulation and Applications in Finance with MATLAB Programs explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in finance. Building on an integrated approach, it provides a pedagogical treatment of the need-to-know materials in risk management and financial engineering. The book takes readers through the basic concepts, covering the most recent research and problems in the area, including: the quadratic re-sampling technique, the Least Squared Method, the dynamic programming and Stratified State Aggregation technique to price American options, the extreme value simulation technique to price exotic options and the retrieval of volatility method to estimate Greeks. The authors also present modern term structure of interest rate models and pricing swaptions with the BGM market model, and give a full explanation of corporate securities valuation and credit risk based on the structural approach of Merton. Case studies on financial guarantees illustrate how to implement the simulation techniques in pricing and hedging. NOTE TO READER: The CD has been converted to URL. Go to the following website www.wiley.com/go/huyhnstochastic which provides MATLAB programs for the practical examples and case studies, which will give the reader confidence in using and adapting specific ways to solve problems involving stochastic processes in finance.

Stochastic Simulation and Applications in Finance with MATLAB Programs

Stochastic Simulation and Applications in Finance with MATLAB Programs explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in finance. Building on an integrated approach, it provides a pedagogical treatment of the need-to-know materials in risk management

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